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The Department of Computer Science at Columbia University

The Department of Computer Science at Columbia University. Henning Schulzrinne, Chair Dept. of Computer Science Columbia University 2005. Columbia Computer Science in Numbers. ~34 full-time faculty and lecturers + visitors, postdocs, adjunct faculty, joint appointments (EE, IEOR), …

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The Department of Computer Science at Columbia University

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  1. The Department of Computer Science at Columbia University Henning Schulzrinne, Chair Dept. of Computer Science Columbia University 2005 CS overview - Fall 2005

  2. Columbia Computer Science in Numbers • ~34 full-time faculty and lecturers • + visitors, postdocs, adjunct faculty, joint appointments (EE, IEOR), … • 125 PhD students (~10 new arrivals) • 221 MS students (120 new arrivals) • 148 CS undergraduate majors • + 49 computer engineering students CS overview - Fall 2005

  3. Faculty: 34 (31 tenure track, 3 lecturers) + 3 joint Carloni Edwards Feiner Aho Allen Belhumeur Bellovin Cannon Galil Gravano Grinspun Gross Grunschlag Hirschberg Jebara Kaiser Kender Keromytis Malkin McKeown Misra Nayar Nieh Nowick Ramamoorthi Ross Rubenstein Yannakakis Schulzrinne Servedio Shortliffe Stolfo Stein Unger Traub Wozniakowski CS overview - Fall 2005 Yemini

  4. Research Interacting with Humans (5) Interacting with the Physical World (9) Making Sense of Data (7) Systems (11) Computer Science Theory (8) Designing Digital Systems (4) CS overview - Fall 2005

  5. Research areas CS overview - Fall 2005

  6. CCLS: A Research Center in CS The Center for Computational Learning Systems (CCLS) aims to be a world leader in learning and data mining research and the application of this research to natural language understanding, the World Wide Web, bioinformatics, systems security and other emerging areas. CCLS will emphasize interdisciplinary efforts with other departments at Columbia, and will leverage Columbia's CS Department's strengths in learning, data mining and natural language processing, extending the effective size and scope of the Department's research effort. CS overview - Fall 2005

  7. Research Making Sense of Data (7) CS overview - Fall 2005

  8. Faculty Luis Gravano Ken Ross Mihalis Yannakakis Ph.D. Students John Cieslewicz Wisam Dakka Alpa Jain Julia Stoyanovich Columbia’s Database Grouphttp://www.cs.columbia.edu/database Databases, data mining,information retrieval, web search CS overview - Fall 2005

  9. Some Projects in Gravano’s “Subgroup”http://www.cs.columbia.edu/~gravano • Snowball, an information-extraction systemhttp://snowball.cs.columbia.edu • QProber, a system for classifying and searching “hidden-web” databaseshttp://qprober.cs.columbia.edu • SDARTS, a protocol and toolkit for metasearching/distributed information retrievalhttp://sdarts.cs.columbia.edu • RANK: “top-k” query processinghttp://rank.cs.columbia.edu CS overview - Fall 2005

  10. Research Interacting with Humans (5) Interacting with the Physical World (9) CS overview - Fall 2005

  11. 3-D Site Modeling Graspit! Simulator Computer Aided Surgery Robotic Crystal Mounting Mobile Robotics CS overview - Fall 2005

  12. Prof. Peter Allen • Current Projects: • 3-D Modeling: Combining laser scanning and computer vision to create photorealistic models. Current NSF ITR project includes scanning Beauvais Cathedral in France and ancient ruins in Sicily • Robotic and human hand simulation using our Graspit! simulator which includes full dynamics, grasp quality measures, and grasp learning • Microscale protein crystal mounting using visual control. Microscope camera used to track/pick up very small crystals for x-ray diffraction • AVENUE mobile scanning robot: automating the site modeling process using GPS, wireless network, computer vision and range scanning • New insertable stereo cameras with pan, tilt and translation for minimally-invasive surgery • People: • Postdocs: Atanas Georgiev and Andrew Miller • GRA’s: Paul Blaer, Alejandro Troccoli, Ben Smith • M.S.: Rafi Pelosoff, Alex Haubald CS overview - Fall 2005

  13. Goal: Creating intelligent machines and systems • Collaborative Research: Currently working with: • Molecular Biology (crystal mounting) • Art History (3D Modeling) • Biomechanics (human hand simulation) • Surgery (next-generation surgical imaging) • One of the labs affiliated with CVGC (Columbia Vision and Graphics Center) • Research opportunities include a wide range of software, hardware and systems projects. Expertise in robotics, graphics, or vision is helpful CS overview - Fall 2005

  14. Insertable Imaging and Effector Platforms for Robotic Surgery Peter Allen Dennis Fowler (Dept. of Surgery) Andrew Miller http://www.cs.columbia.edu/robotics CS overview - Fall 2005

  15. Multiple holes/insertion points Ports needed for each camera, instrument involved Limited range of motion at incision Pushing long sticks into small openings is still the idea!!! Assistant(s) needed to control camera Monocular viewing Works well - but can we do better? Current Laparoscopic Paradigm CS overview - Fall 2005

  16. Next Generation Imaging Device • Insertable unit • 5 Degrees-of-freedom: 2 pan, 1 tilt, 2 translate • Stereo Cameras • More mobility for imaging • Frees up incision port for other tooling CS overview - Fall 2005

  17. Single Camera Prototype Diameter: 18mm; Length: 19cm Camera opening: 5.8cm Pan: 120°; Tilt: 130°; Translation: 5cm CS overview - Fall 2005 Video

  18. Computer Graphics and User Interfaces LabS. Feiner, H. Benko, G. Blaskó, S. Güven, D. Hallaway,E. Ishak, S. White • Wearable UIs • Augmentedreality • Virtual reality CS overview - Fall 2005

  19. Computer Graphics and User Interfaces LabS. Feiner, H. Benko, G. Blaskó, S. Güven, D. Hallaway,E. Ishak, S. White • Automated generation of graphics • Display layout • Coordination with text generation CS overview - Fall 2005

  20. q* q’ x x x q Topics Support Vector Machines and Kernel Methods Representation Learning CS overview - Fall 2005

  21. Topics Computer Vision, Tracking People and Understanding Video Discriminative Graphical Models CS overview - Fall 2005

  22. Computer Graphics Group • Profs. Grinspun & Ramamoorthi • Fundamental methods and math Rendering: how does the world appear to us? CS overview - Fall 2005

  23. Computer Graphics Group Simulation/animation: how does the world behave? CS overview - Fall 2005

  24. Computer Graphics Group geometric modeling: representing and computing on geometric objects CS overview - Fall 2005

  25. Research Systems (11) CS overview - Fall 2005

  26. Develop and empirically evaluate methodologies and technologies to enable “better, faster, cheaper” development and maintenance of large-scale software systems Seeking PhD, MS or advanced undergraduate students with substantial “real world” systems programming experience Also seeking students with background in electricity distribution and other energy (e.g., power engineering) self-managing systems ("autonomic computing") publish/subscribe event systems security Web technologies collaborative work information management distributed systems software development environments and tools Projects often multi-disciplinary and joint with other faculty Gail Kaiser:Programming Systems Lab CS overview - Fall 2005 Rocco Servedio External Review Jan 2003

  27. Networking research at Columbia University • Columbia Networking Research Center • spans EE + CS • 15 faculty – one of the largest networking research groups in the US • about 40 PhDs • spanning optical networks to operating systems and applications • theory (performance analysis) to systems (software, protocols) CS overview - Fall 2005

  28. Network Computing Laboratoryhttp://www.ncl.cs.columbia.edu • Operating Systems • Distributed Systems • Scheduling and Resource Management • Thin-Client and Network Computing • Web and Multimedia Systems • Performance Evaluation CS overview - Fall 2005

  29. Network Computing LaboratoryRecent Research Projects • Zap: Transparent process migration • VNAT: Mobile networking • GR3: O(1) proportional share scheduling • Thinc: WAN remote display protocol • Certes: Inferring web client response times CS overview - Fall 2005

  30. Columbia Intrusion Detection Lab (Sal Stolfo) • Attackers continue to improve techniques undeterred – • Present COTS security defenses are porous and suffer from the false negative problem • There is no one monolithic security solution; security is a design criteria at all layers of the stack and across multiple sites • Behavior-based computer security will substantially raise the bar • Columbia conducts a broad spectrum of research related to securing critical infrastructure in close collaboration with industry and government with attention to practical and deployable results • Visit: http://www.cs.columbia.edu/faculty • http://www.cs.columbia.edu/ids • http://worminator.cs.columbia.edu CS overview - Fall 2005

  31. Columbia Intrusion Detection Lab: Anomaly Detection for Zero-Day Attack • Worminator • Cross Domain Security Alert Sharing infrastructure • Modeling of attacker intent, and precursors to attack • PAYL – Payload Anomaly Detection • Behavior-based detection of “abnormal” traffic • Zero-day exploits detected in network packet data flows • EMT – Email Mining Toolkit • Forensic analysis of email logs for profile and model generation • Comparison of profiles/models • Detect malicious users/groups and aliases CS overview - Fall 2005

  32. EMT: Email Mining Forensic Analysis Prof Sal Stolfo Columbia University Computer Science Department 212.939.7080/sal@cs.columbia.edu CS overview - Fall 2005

  33. EMT Forensics Main View of Email Archive • Automatic system to acquire email data for study in a forensic environment • Scalable to 100,000’s of emails and attachments • Automatically supports forensic tasks to be completed in seconds with analyst control over all variables and features • Java-based application for email collection, analysis, and reporting in one integrated solution • Pluggable architecture with API for easy customized extensions CS overview - Fall 2005

  34. What might EMT do… Who are the most important people in an organization and how do they behave? • Forensic analysis tasks for regulatory compliance • Which accounts are most important • Which accounts are behaving anomalously • Interesting behaviors between members of a social clique (clique violation or usage violation) • Who belongs to very many cliques CS overview - Fall 2005

  35. What might EMT do… How does email flow over time? • Managing organization information flow • Who communicates regularly with whom • Who has read my email • How does email flow through my organization CS overview - Fall 2005

  36. Network Security LabProf. Angelos D. Keromytis • Applied research in security, networking, operating systems • Emphasis on systems and on building stuff • Main research projects • Self-healing software and software security • Application on countering network viruses/worms • Network denial of service • Currently 6 Ph.D. students (Cook, Locasto, Burnside, Stavrou, Sidiroglou, Androulaki) • Closely affiliated faculty: Stolfo, Bellovin, Ioannidis (CCLS), Yung http://nsl.cs.columbia.edu/ CS overview - Fall 2005

  37. NSL Projects • Self-healing software • Enable legacy software to learn from its failures and improve itself over time, without human intervention! • Network Worm Vaccine • Limit worm infection rate via anomaly detection engine and automatic patching of vulnerable software, based on self-healing concepts • Resilience Against Denial of Service Attacks • Use network overlays as a mechanism for separating good and “bad” traffic • High-speed I/O: The Operating System As a Signaling Mechanism • New OS architecture - remove memory and CPU from data path • Efficient Cryptography • Design and implementation of ciphers for specific environments - use of graphics cards, variable size block ciphers, IXP processor • Collaborative Distributed Intrusion Detection • Identifying global attack activity as well as “low and slow” scans via shared intrusion alerts across administrative domains CS overview - Fall 2005

  38. Network Worm Vaccine CS overview - Fall 2005

  39. Network Worm Vaccine CS overview - Fall 2005

  40. Network Worm Vaccine CS overview - Fall 2005

  41. IRT real-time laboratory (IRT)http://www.cs.columbia.edu/IRT • Internet multimedia protocols and systems • Internet telephony signaling and services • application sharing, 911 systems • Ubiquitous communication • Peer-to-peer IP telephony • Wireless and ad-hoc networks • VoIP hand-off acceleration • Quality of service • multicast, scalable signaling, … • Service discovery and location-based services • DOS prevention and traceback CS overview - Fall 2005

  42. Distributed Network Analysis (DNA)Prof. Vishal Misra, Dan Rubenstein • Expertise in mathematical modeling of communication/network systems • Also do prototyping/experimentation to validate theory • Topics: • Resilient and Secure Networking • Wireless (802.11, Mesh) • Sensor Networks • Overlay and P2P Networking • Server Farms • Analytical Techniques • Stochastics • Algorithms • Control Theory, Queueing Theory, Information Theory • Whatever else might be needed… CS overview - Fall 2005

  43. Research Designing Digital Systems (4) CS overview - Fall 2005

  44. Asynchronous Circuits & Systems Grouphttp://www.cs.columbia.edu/~nowick • Prof. Steven Nowick (nowick@cs.columbia.edu) • Research in clockless digital systems • Most digital systems are synchronous = have a global clock • Potential benefits of asynchronous systems: • Modular “plug-and-play” design: assemble components, no global timing concerns • Low power: no burning of clock power, components only activated on demand • High speed: not restricted by fixed clock speed • Challenges: new techniques needed • New “CAD” (computer-aided design) software tools to aid designers • New circuit design styles CS overview - Fall 2005

  45. Asynchronous Circuits & Systems Group • CAD Tools: • Software tools + optimization algorithms • Allow automated ‘push-button’ circuit synthesis + optimization • For individual controllers (state machines), for entire systems (processors) • Circuit Designs: • New techniques to design asynchronous circuits (adders, multipliers) • Interface circuits: for mixing synchronous + asynchronous subsystems • Very high-speed pipelines: several GHz CS overview - Fall 2005

  46. Research Computer Science Theory (8) CS overview - Fall 2005

  47. Tal Malkin: Cryptography • Crypto group  Theory group  Secure Systems Lab • Crypto = construct computation and communication efficient schemes maintaining desired functionality even in adversarial environment • (e.g., public key encryption, secure computation, authentication, contract signing, voting, e-commerce, …) • Motivation and Goals  security, privacy, social, financial, political needs • Solutions  rigorous, theoretical approach • Research themes: • Definitions (identify, conceptualize, formalize goals) • Protocol design (efficiency and provable security) • Foundations (complexity, assumptions, limits) •  Search for both positive and negative results CS overview - Fall 2005

  48. Tal Malkin: Examples of Research Topics • Protecting against temporal or partial key exposure: key-evolving (e.g., forward-secure) schemes to mitigate damage of key leakage. • Protecting against key manipulation or tampering attacks: algorithmic defense against physical attacks on keying material. • Private information retrieval: keep user’s interests private even from database holder. • Relations among cryptographic primitives: reductions and oracle separations; minimal assumptions for cryptographic tasks. • Secure computation of approximations, completeness for multi-party computation, multicast encryption, anonymous routing, intrusion detection, steganography, … • For more information: take crypto class this fall, contact Prof. Malkin, check out http://www.cs.columbia.edu/~tal CS overview - Fall 2005

  49. + + + - + - - - + - - - - - - - - - - - AND OR OR OR AND ………………………….. AND …………………………………………. x1 xn Rocco Servedio: Theory of Computinghttp://www.cs.columbia.edu/~rocco Main research goal:design and analyze provably correct and efficient learning algorithms for interesting and important classes of functions v4 + v2 v6 v3 v1 v2 0 0 1 1 0 0 1 Boolean formulas geometric concepts decision trees CS overview - Fall 2005 Rocco Servedio External Review Jan 2003

  50. Rocco Servedio: Theory of Computing • Main approach: explore & exploit connections between computational learning theory and other areas of CS theory • Complexity theory: representation schemes studied in complexity theory (Fourier representations, polynomial threshold functions) are useful for learning • Cryptography: basis for robust hardness results for learning problems • Quantum computation: quantum algorithms can efficiently solve learning problems which classical algorithms provably cannot CS overview - Fall 2005

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